AimTo discuss the actual public image of nurses and other factors that influence the development of nurses' self-concept and professional identity.BackgroundNurses have become healthcare professionals in their own right who possess a great deal of knowledge. However, the public does not always value the skills and competences nurses have acquired through education and innovation.DesignDiscussion paper.Data sourcesWe identified 1216 relevant studies by searching MEDLINE, CINAHL and PsycINFO databases in the period 1997–2010. Finally, 18 studies met our inclusion criteria.DiscussionThe included studies show that the actual public image of nursing is diverse and incongruous. This image is partly self-created by nurses due to their invisibility and their lack of public discourse. Nurses derive their self-concept and professional identity from their public image, work environment, work values, education and traditional social and cultural values.Implications for nursingNurses should work harder to communicate their professionalism to the public. Social media like the Internet and YouTube can be used to show the public what they really do.ConclusionTo improve their public image and to obtain a stronger position in healthcare organizations, nurses need to increase their visibility. This could be realized by ongoing education and a challenging work environment that encourages nurses to stand up for themselves. Furthermore, nurses should make better use of strategic positions, such as case manager, nurse educator or clinical nurse specialist and use their professionalism to show the public what their work really entails.
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This article examines China's public diplomacy strategy within Japan. The size and complexity of China renders the management of the country's image a challenging undertaking in any context, particularly so within Japan where the weight of historical issues between the two countries presents a significant obstacle to any attempts to implement image enhancement initiatives. A purposive sample of expert respondents were asked to give their perceptions of the impact of China's public diplomacy strategy in Japan. The results suggest that the level of success achieved to date has been low, although recent visits to Japan by Chinese leaders have been relatively well received in Japan, which may form the basis for better future outcomes for China's public diplomacy in Japan.
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Public transgressions by group members threaten the public image of a group when outside observers perceive them as representative of the group in general. In three studies, we tested the effectiveness of rejection of a deviant group member who made a racist comment in public, and compared this to several other strategies the group could employ to protect their image. In Study 1 (N¼75) and Study 2 (N¼51), the group was judged less racist after rejecting the deviant than after claiming a non-racist position or not responding to the transgression. Perceived typicality of the deviant partially mediated this effect in Study 2. In Study 3 (N¼81), the group was judged least racist after forcing the deviant to apologize and as most racist after denying the severity of the transgression. Results also showed a negative side-effect of rejection. Perceived exclusion of the deviant contributed to a perception of the group as disloyal to its members, which resulted in a less favorable overall group evaluation. Potential benefits and risks of rejection, denial, and apologies are further discussed in the General Discussion.
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More than 25!years after Moore’s first introduction of the public value concept in 995, the concept is now widely used, but its operationalization is still considered difficult. This paper presents the empirical results of a study analyzing the application of the public value concept in Higher Education Institutions, thereby focusing on how to account for public value. The paper shows how Dutch universities of applied sciences operationalize the concept ‘public value’, and how they report on the outcome achievements. The official strategy plans and annual reports for FY2016 through FY2018 of the ten largest institutions were used. While we find that all the institutions selected aim to deliver public value, they still use performance indicators that have a more narrow orientation, and are primarily focused on processes, outputs, and service delivery quality. However, we also observe that they use narratives to show the public value they created. In this way this paper contributes to the literature on public value accounting.
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How to create personas to improve designs for behaviour change strategies in the public domain? Three recent cases illustrate lessons learnt and challenges encountered during persona development in the public domain. Personas were helpful to gain insight into diversity within a target group, to create empathy for its members, and to have a shared understanding when communicating about them. The main challenges encountered were 1) capturing complex behaviour with personas, as the behaviours involved were variable over time, the (legislative) environment in motion, and the target groups diverse; 2) finding the right balance between intuitive vs. evidence-based decision-making, a process we coined “taking a responsible leap of faith”; and 3) transferring personas to third parties, as free sharing of insights and tools is common in the public domain. Validation plays an important role in personas’ transferability. We call for all involved researchers to share experiences with using the persona methodology in the public domain, in order to tackle the challenges, and to create a more standardised way of developing personas.
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Neighborhood image processing operations on Field Programmable Gate Array (FPGA) are considered as memory intensive operations. A large memory bandwidth is required to transfer the required pixel data from external memory to the processing unit. On-chip image buffers are employed to reduce this data transfer rate. Conventional image buffers, implemented either by using FPGA logic resources or embedded memories are resource inefficient. They exhaust the limited FPGA resources quickly. Consequently, hardware implementation of neighborhood operations becomes expensive, and integrating them in resource constrained devices becomes unfeasible. This paper presents a resource efficient FPGA based on-chip buffer architecture. The proposed architecture utilizes full capacity of a single Xilinx BlockRAM (BRAM36 primitive) for storing multiple rows of input image. To get multiple pixels/clock in a user defined scan order, an efficient duty-cycle based memory accessing technique is coupled with a customized addressing circuitry. This accessing technique exploits switching capabilities of BRAM to read 4 pixels in a single clock cycle without degrading system frequency. The addressing circuitry provides multiple pixels/clock in any user defined scan order to implement a wide range of neighborhood operations. With the saving of 83% BRAM resources, the buffer architecture operates at 278 MHz on Xilinx Artix-7 FPGA with an efficiency of 1.3 clock/pixel. It is thus capable to fulfill real time image processing requirements for HD image resolution (1080 × 1920) @103 fcps.
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The huge number of images shared on the Web makes effective cataloguing methods for efficient storage and retrieval procedures specifically tailored on the end-user needs a very demanding and crucial issue. In this paper, we investigate the applicability of Automatic Image Annotation (AIA) for image tagging with a focus on the needs of database expansion for a news broadcasting company. First, we determine the feasibility of using AIA in such a context with the aim of minimizing an extensive retraining whenever a new tag needs to be incorporated in the tag set population. Then, an image annotation tool integrating a Convolutional Neural Network model (AlexNet) for feature extraction and a K-Nearest-Neighbours classifier for tag assignment to images is introduced and tested. The obtained performances are very promising addressing the proposed approach as valuable to tackle the problem of image tagging in the framework of a broadcasting company, whilst not yet optimal for integration in the business process.
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In this paper we present visual methodologies attuned to the networked nature of digital images. First, we describe approaches to image research in which images are not separated from their network, but rather studied 'en groupe'. Here, we contrast approaches that treat images as data, and those that regard images as content. Second, we focus on the production of images for digital research, presenting three of their functions: a) the creation of diagrams that facilitate collaboration in interdisciplinary research teams; b) the use of visualizations for cross-platform image analysis; and c) designing images for public participation. Most importantly, such visualizations are not used to form the esthetic culmination of analytical work, but are rather functional tools for digital research that serve parts of the entire research process, from its formulation and operationalization to the engagement of a broader public.
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Recent years have seen a massive growth in ethical and legal frameworks to govern data science practices. Yet one of the core questions associated with ethical and legal frameworks is the extent to which they are implemented in practice. A particularly interesting case in this context comes to public officials, for whom higher standards typically exist. We are thus trying to understand how ethical and legal frameworks influence the everyday practices on data and algorithms of public sector data professionals. The following paper looks at two cases: public sector data professionals (1) at municipalities in the Netherlands and (2) at the Netherlands Police. We compare these two cases based on an analytical research framework we develop in this article to help understanding of everyday professional practices. We conclude that there is a wide gap between legal and ethical governance rules and the everyday practices.
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Information and communications technologies (ICT) can be very important to provide access to urban cultural heritage collections. Urban archives contain a lot of (historical) information about people, places, events, objects, trade and artefacts. Its worthwhile to make this information accessible for a bigger public. The core challenge nowadays is to explore the role and meaning of ICT in disseminating this historical knowledge in public spaces. In this paper, we will research the theoretical background of the information value chain in archival science and of the use and context of new media technologies in public spaces. Our research method was a combination of desk research and a case study, in which new interactive media technologies were used to reconstruct historical images of Amsterdam in public spaces. The case study blended digital historical content with physical interactions to provide a user experience of urban history by using innovative storytelling techniques. The resulting prototype made it possible to disseminate historical information from Amsterdam urban archives.
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